瓶颈
系统生物学
酿酒酵母
代谢工程
生物
生物技术
生化工程
酵母
合成生物学
工业生物技术
工业微生物学
计算生物学
发酵
遗传学
计算机科学
生物化学
工程类
基因
嵌入式系统
作者
Jens Nielsen,Michael C. Jewett
出处
期刊:Fems Yeast Research
[Oxford University Press]
日期:2008-02-01
卷期号:8 (1): 122-131
被引量:145
标识
DOI:10.1111/j.1567-1364.2007.00302.x
摘要
Industrial biotechnology is a rapidly growing field. With the increasing shift towards a bio-based economy, there is rising demand for developing efficient cell factories that can produce fuels, chemicals, pharmaceuticals, materials, nutraceuticals, and even food ingredients. The yeast Saccharomyces cerevisiae is extremely well suited for this objective. As one of the most intensely studied eukaryotic model organisms, a rich density of knowledge detailing its genetics, biochemistry, physiology, and large-scale fermentation performance can be capitalized upon to enable a substantial increase in the industrial application of this yeast. Developments in genomics and high-throughput systems biology tools are enhancing one's ability to rapidly characterize cellular behaviour, which is valuable in the field of metabolic engineering where strain characterization is often the bottleneck in strain development programmes. Here, the impact of systems biology on metabolic engineering is reviewed and perspectives on the role of systems biology in the design of cell factories are given.
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